Analysis of Wheat Starch Quality Genetic Traits and Combining Ability in Wheat
Bibliographic record
Abstract
according to the incomplete double row hybrid design,Choose nine winter wheat varieties as study materials to analyse the content of amylose,amylopectin and starch and expansion of genetic component,ability and potential and interrelationship of different varieties.The results showed that:4 starch quality traits generalized genetic force were high relatively,achieved to above 52%,indicated that wheat kernels total starch content and components,the inflation were controlled by additive genes and no-additive gene at the same time,the narrow-sense heritability of expansion and amylopectin were low,suitable for later generations selection,amylose,starch,suitablefor early generation selection,General combining ability of Starch quality traits of zhongyou 9507 and jimai 20 showed better,suitable for as parents of noodle wheats;Specific combining ability of Weak gluten and strong gluten hybrid combinations showed better as a whole,was the combination of high value.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".